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← Anyscale

Staff Software Engineer, Ray Data

Anyscale · San Francisco

CHECKED 3H AGO

Infrastructureonsitestaff$240k–$270k
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At a glance

Highlights

  • Build core systems powering Ray Data for multimodal AI workloads at scale.
  • Optimize distributed execution across pipeline stages in heterogeneous environments.
  • Solve scaling challenges with AI-native companies building next-gen AI apps.

What they offer

  • Competitive salary and equity
  • Health/dental/vision coverage (many plans up to 99% employer-covered)
  • Flexible time off
  • Paid parental leave
  • Mental health support

Ideal candidate

Seasoned distributed systems builder who loves tackling unsolved performance and scale problems and owning core architecture decisions that power next-generation AI workloads.

Requirements

  • 6+ years building production-grade software, infrastructure, or developer-facing systems with strong Python
  • 6+ years owning core architectural decisions within a distributed data or compute engine
  • Deep experience with distributed systems internals such as scheduling, fault tolerance and partitioning
  • Track record reasoning through system-level tradeoffs and defending architectural decisions
  • Passion for solving unsolved problems in large-scale AI infrastructure

Lab profile

About Anyscale

Democratizing distributed computing by commercializing Ray for scalable machine learning and AI.

What they build

  • Ray
  • Ray Data
  • Anyscale Runtime

Known for

  • Distributed computing
  • Scalable machine learning
  • Distributed LLM inference
  • Cloud infrastructure
More about Anyscale →
Apply on the lab’s site ↗